多时间尺度下智能楼宇异构负荷协同调度研究

董燕; 陈乙瑞; 朱永胜; 刘勇; 胡泽斐

doi:10.19912/j.0254-0096.tynxb.2023-0600

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (8) : 210-217. DOI: 10.19912/j.0254-0096.tynxb.2023-0600

多时间尺度下智能楼宇异构负荷协同调度研究

董燕, 陈乙瑞, 朱永胜, 刘勇, 胡泽斐

作者信息 +

RESEARCH ON COORDINATED SCHEDULING OF HETEROGENEOUS LOADS IN SMART BUILDINGS UNDER MULTI-TIME SCALES

Dong Yan, Chen Yirui, Zhu Yongsheng, Liu Yong, Hu Zefei

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文章历史 +

摘要

为应对大规模具有异构特性的灵活负荷接入智能楼宇,解决可再生能源随机性与灵活异构负荷不确定性造成楼宇的负荷波动问题,需对灵活异构负荷进行合理管控,提出一种计及多时间尺度下智能楼宇异构负荷协同调控方法。首先,考虑异构负荷用电特性及响应特性差异,将智能楼宇内异构负荷等效为可转移负荷与可削减负荷。进而,综合可再生能源波动性与异构负荷时域互补性,建立日前-日内两阶段联合优化调度模型。算例仿真表明,异构负荷之间协调互动和多时间尺度滚动优化,能有效减少系统负荷波动,显著提升整体运行经济性。

Abstract

In order to cope with large-scale flexible loads with heterogeneous characteristics connected to smart buildings, and to solve the problem of load fluctuations in buildings caused by the randomness of renewable energy and the uncertainty of flexible and heterogeneous loads, it is necessary to reasonably manage and control flexible and heterogeneous loads. A collaborative control method for heterogeneous loads in intelligent buildings considering multiple time scales is proposed. Firstly, considering the differences in power consumption characteristics and response characteristics of heterogeneous loads, the heterogeneous loads in the building are clustered into transferable loads and curtailable loads. Furthermore, considering the time-domain complementarity of the volatility of renewable energy and heterogeneous loads, a two-stage joint optimization dispatching model of day-ahead-intraday is established. The example simulation shows that the coordinated interaction between heterogeneous loads and multi-time scale rolling optimization can effectively reduce system load fluctuations and significantly improve the overall operating economy.

导出引用

董燕, 陈乙瑞, 朱永胜, 刘勇, 胡泽斐. 多时间尺度下智能楼宇异构负荷协同调度研究[J]. 太阳能学报. 2024, 45(8): 210-217 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0600

Dong Yan, Chen Yirui, Zhu Yongsheng, Liu Yong, Hu Zefei. RESEARCH ON COORDINATED SCHEDULING OF HETEROGENEOUS LOADS IN SMART BUILDINGS UNDER MULTI-TIME SCALES[J]. Acta Energiae Solaris Sinica. 2024, 45(8): 210-217 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0600

中图分类号： TM73

参考文献

[1] 孙毅, 李泽坤, 鲍荟谕, 等. 清洁供热模式下多能异构负荷调控框架及关键技术剖析[J]. 中国电机工程学报, 2021, 41(20): 6827-6842.
SUN Y, LI Z K, BAO H Y, et al.Multi-energy heterogeneous load regulation framework and key technology analysis under clean heating mode[J]. Proceedings of the CSEE, 2021, 41(20): 6827-6842.
[2] 徐筝, 孙宏斌, 郭庆来. 综合需求响应研究综述及展望[J]. 中国电机工程学报, 2018, 38(24): 7194-7205, 7446.
XU Z, SUN H B, GUO Q L.Review and prospect of integrated demand response[J]. Proceedings of the CSEE, 2018, 38(24): 7194-7205, 7446.
[3] 彭春华, 陈思畏, 徐佳璐, 等. 综合能源系统混合时间尺度多目标强化学习低碳经济调度[J]. 电网技术, 2022, 46(12): 4914-4925.
PENG C H, CHEN S W, XU J L, et al.Low carbon economic scheduling for integrated energy systems with mixed timescale & multi-objective reinforcement learning[J]. Power system technology, 2022, 46(12): 4914-4925.
[4] 楼家辉, 杨欢, 王京, 等. 考虑异质性的定频空调负荷聚合建模及功率跟踪策略[J]. 电力建设, 2017, 38(11): 55-63.
LOU J H, YANG H, WANG J, et al.Constant frequency air conditioning load aggregated modeling and its power tracking strategy considering heterogeneity[J]. Electric power construction, 2017, 38(11): 55-63.
[5] 孙毅, 李泽坤, 许鹏, 等. 异构柔性负荷建模调控关键技术及发展方向研究[J]. 中国电机工程学报, 2019, 39(24): 7146-7158, 7488.
SUN Y, LI Z K, XU P, et al.Research on key technologies and development direction of heterogeneous flexible load modeling and regulation[J]. Proceedings of the CSEE, 2019, 39(24): 7146-7158, 7488.
[6] 孙毅, 黄绍模, 李泽坤, 等. 考虑时域特性的异构温控负荷联合调控策略[J]. 电网技术, 2020, 44(12): 4722-4734.
SUN Y, HUANG S M, LI Z K, et al.Joint control strategy of heterogeneous temperature control load considering time domain characteristics[J]. Power system technology, 2020, 44(12): 4722-4734.
[7] 马志程, 周强, 张金平, 等. 考虑灵活性负荷异构性质的多类型储能优化配置[J]. 储能科学与技术, 2022, 11(12): 3926-3936.
MA Z C, ZHOU Q, ZHANG J P, et al.Optimal configuration of multitype energy storages considering heterogeneous flexible loads[J]. Energy storage science and technology, 2022, 11(12): 3926-3936.
[8] 胡佳怡, 严正, 王晗. 考虑清洁电力共享的社区电能日前优化调度[J]. 电网技术, 2020, 44(1): 61-70.
HU J Y, YAN Z, WANG H.Day-ahead optimal scheduling for communities considering clean power-sharing[J]. Power system technology, 2020, 44(1): 61-70.
[9] 胡鹏, 艾欣, 杨昭, 等. 考虑电能共享的综合能源楼宇群日前协同优化调度[J]. 电力自动化设备, 2019, 39(8): 239-245.
HU P, AI X, YANG Z, et al.Day-ahead optimal scheduling for cluster building with integrated energy system considering power sharing[J]. Electric power automation equipment, 2019, 39(8): 239-245.
[10] 吴界辰, 艾欣, 张艳, 等. 配售分离环境下高比例分布式能源园区电能日前优化调度[J]. 电网技术, 2018, 42(6): 1709-1719.
WU J C, AI X, ZHANG Y, et al.Day-ahead optimal scheduling for high penetration of distributed energy resources in community under separated distribution and retail operational environment[J]. Power system technology, 2018, 42(6): 1709-1719.
[11] 张大海, 贠韫韵, 王小君, 等. 计及风光不确定性的新能源虚拟电厂多时间尺度优化调度[J]. 太阳能学报, 2022, 43(11): 529-537.
ZHANG D H, YUN Y Y, WANG X J, et al.Multi-time scale of new energy scheduling optimization for virtual power plant considering uncertainty of wind power and photovoltaic power[J]. Acta energiae solaris sinica, 2022, 43(11): 529-537.
[12] 王智, 陶鸿俊, 蔡文奎, 等. 多时间尺度滚动优化在冷热电联供系统中的优化调度研究[J]. 太阳能学报, 2023, 44(2): 298-308.
WANG Z, TAO H J, CAI W K, et al.Optimal scheduling research of multi-time-scale rolling optimization in cchp system[J]. Acta energiae solaris sinica, 2023, 44(2): 298-308.
[13] 傅质馨, 李紫嫣, 朱俊澎, 等. 面向多用户的多时间尺度电力套餐与家庭能量优化策略[J]. 电力系统保护与控制, 2022, 50(11): 21-31.
FU Z X, LI Z Y, ZHU J P, et al.Multi-user multi-timescale power packages and home energy optimization strategies[J]. Power system protection and control, 2022, 50(11): 21-31.
[14] 湛归, 殷爽睿, 艾芊, 等. 智能楼宇型虚拟电厂参与电力系统调频辅助服务策略[J]. 电力工程技术, 2022, 41(6): 13-20, 57.
ZHAN G, YIN S R, AI Q, et al.A strategy for smart building-based virtual power plants participating in frequency regulation auxiliary service[J]. Electric power engineering technology, 2022, 41(6): 13-20, 57.
[15] 朱磊, 黄河, 高松, 等. 计及风电消纳的电动汽车负荷优化配置研究[J]. 中国电机工程学报, 2021, 41(S1): 194-203.
ZHU L, HUANG H, GAO S, et al.Research on optimal load allocation of electric vehicle considering wind power consumption[J]. Proceedings of the CSEE, 2021, 41(S1): 194-203.
[16] LIU Z X, WU Q W, SHAHIDEHPOUR M, et al.Transactive real-time electric vehicle charging management for commercial buildings with PV on-site generation[J]. IEEE transactions on smart grid, 2019, 10(5): 4939-4950.
[17] 余苏敏, 杜洋, 史一炜, 等. 考虑V2B智慧充电桩群的低碳楼宇优化调度[J]. 电力自动化设备, 2021, 41(9): 95-101.
YU S M, DU Y, SHI Y W, et al.Optimal scheduling of low-carbon building considering V2B smart charging pile groups[J]. Electric power automation equipment, 2021, 41(9): 95-101.
[18] 陆燕娟, 潘庭龙, 杨朝辉. 计及电动汽车的社区微网储能容量配置[J]. 太阳能学报, 2021, 42(12): 362-367.
LU Y J, PAN T L, YANG C H.Energy storage capacity configuration in community microgrid considering electric vehicles[J]. Acta energiae solaris sinica, 2021, 42(12): 362-367.
[19] 胡澄, 刘瑜俊, 徐青山, 等. 面向含风电楼宇的电动汽车优化调度策略[J]. 电网技术, 2020, 44(2): 564-572.
HU C, LIU Y J, XU Q S, et al.Optimal scheduling strategy for electric vehicles in buildings with wind power[J]. Power system technology, 2020, 44(2): 564-572.
[20] YANG Y, JIA Q S, DECONINCK G, et al.Distributed coordination of EV charging with renewable energy in a microgrid of buildings[J]. IEEE transactions on smart grid, 2018, 9(6): 6253-6264.
[21] 蔡文辉, 高红均, 李海波, 等. 净零能耗驱动的楼宇群能源共享对等聚合模型[J]. 中国电机工程学报, 2022, 42(24): 8832-8844.
CAI W H, GAO H J, LI H B, et al.Net zero energy driven power sharing for aggregated buildings: a peer aggregation model[J]. Proceedings of the CSEE, 2022, 42(24): 8832-8844.